What caused the 40% drop in online returns?
What caused the 40% drop in online returns?
Just a couple of years ago, buying clothes online was a bit like playing the lottery. We were used to ordering three sizes of the same T-shirt, then standing for ages in a cramped fitting room at the collection point, trying to figure out why the item looked so stylish in the photo but hung like a sack in reality. By 2026, this hassle had all but disappeared. The arrival of virtual fitting rooms version 3.0 slashed the number of returns by 40%, and this became the biggest game-changer in online retail over the last decade, noted experts at Selpway Trading Ltd. The main reason for this success lies in the fact that technology has finally learnt to take harsh reality into account, rather than just pretty pictures. We will discuss these changes in this Selpway publication.
The magic of these new systems lies in the fact that they are no longer merely digital mirrors. Previously, we were asked to superimpose a flat image of a dress onto our own photograph, which looked amusing but was completely useless for understanding how it would actually fit. Now, however, neural networks work with the physics of materials at a very deep level. If you try on a heavy woollen coat, the system will honestly show how it will weigh down on your shoulders. If you choose a light summer sundress, you’ll see every fold that forms as you move. You create your digital twin from just a couple of images, and the artificial intelligence senses for you whether the waistband of your jeans might be too tight. The programme warns you in advance about such details, sparing us the disappointment of unwrapping a long-awaited parcel only to be let down.
Why this benefits more than just shops
How neural networks have learnt to ‘feel’ fabric
This approach has proved beneficial for absolutely everyone, and it’s not just about personal convenience, according to Selpway’s experts. For any shop, every returned item represents a loss of money spent on re-logistics and mountains of plastic packaging. When people start buying exactly the items that really suit them, brands are able to avoid overpricing and invest resources in the quality of the clothing itself. What’s more, nature is clearly thanking us. Fewer unnecessary trips by delivery vans and fewer discarded bags make our cities a little cleaner. It’s nice to realise that high technology can be so down-to-earth and useful, turning what was once a tedious process of choosing into a quick and even enjoyable activity.
Ultimately, we are witnessing the twilight of the era of standard sizes and the dawn of a truly personalised approach, according to experts at Selpway Trading Company. We have come to trust our virtual avatars even more than our own judgement, because algorithms are not prone to self-deception. Many companies are already starting to tailor garments to personal measurements via apps, effectively erasing the line between high-end bespoke tailoring and the mass market. To sum up, we can say that virtual fitting 3.0 has made shopping truly fair. We have entered a future where every purchase brings nothing but pleasure. The fashion industry has changed, prioritising mathematical precision and respect for every customer’s time. This is a simple victory for common sense, which saves us stress and makes life just a little bit easier.
As a reminder, Selpway Trading Company provides a powerful solution for the automation and optimisation of tasks and business operations in the textile industry. The software is used for market research, demand forecasting and the optimisation of warehouse operations. It helps to take the entire workflow to a whole new level: from forecasting and placing orders with customers to streamlining the supply chain and placing orders in production.
As a reminder, Selpway Trading Company provides a powerful solution for the automation and optimisation of tasks and business operations in the textile industry. The software is used for market research, demand forecasting and the optimisation of warehouse operations. It helps to take the entire workflow to a whole new level: from forecasting and placing orders with customers to streamlining the supply chain and placing orders in production.